US2023179160A1PendingUtilityA1

Compensation for ambient sound signals to facilitate adjustment of an audio volume

Assignee: JAWBONE INNOVATIONS LLCPriority: Dec 12, 2013Filed: Jan 26, 2023Published: Jun 8, 2023
Est. expiryDec 12, 2033(~7.4 yrs left)· nominal 20-yr term from priority
Inventors:Nitin Ganatra
H03G 3/24H03G 3/32
66
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Claims

Abstract

Embodiments of the invention relate generally to audio device and wearable computing devices to detect and characterize an ambient sound, to adjust an output volume of an audio device. More specifically, disclosed are systems, components and methods to generate audio signals associated with an audio device and an output volume, receive ambient sound signals associated with an ambient sound source, detect the ambient sound signals reaching a threshold intensity, analyzing digital data representing the ambient sound and adjust the audio signals to change the output volume according to a category of the ambient sound signals.

Claims

exact text as granted — not AI-modified
1 . A method comprising:
 generating audio signals associated with an audio device and an output volume;   receiving ambient sound signals associated with an ambient sound source, the ambient sound signals including one or more acoustic characteristics;   detecting the ambient sound signals reaching a threshold intensity;   analyzing digital data representing the ambient sound signals, wherein said analyzing further comprises:
 selecting sample digital data representing at least one of the one or more acoustic characteristics; 
 comparing the sample digital data representing the at least one of the one or more acoustic characteristics with data stored in a plurality of acoustic files; and 
 determining a category of the ambient sound signals based at least in part on the comparison, and 
   filtering out the ambient sound signals from the audio signals when the category is determined to be a category associated with a non-response-solicitation sound.   
     
     
         2 . The method of  claim 1 , wherein the one or more acoustic characteristics are selected from the group consisting of intensity, frequency, timbre, and spatial direction. 
     
     
         3 . The method of  claim 1 , wherein the ambient sound signals are filtered out from the audio signals when the category is determined to be a category associated with a non-response-solicitation sound and the ambient sound signals are identified as common noises. 
     
     
         4 . The method of  claim 1 , further comprising:
 increasing the output volume of the audio signals when the category is determined to be a category associated with a non-response-solicitation sound that is deemed to interfere with a listener's hearing of the audio signals.   
     
     
         5 . The method of  claim 1 , further comprising:
 receiving proximity digital data representing a spatial direction of the ambient sound source via one or more sensors housed in the audio device, wherein determining the category of the ambient sound signals is based at least in part on the spatial direction.   
     
     
         6 . The method of  claim 5 , further comprising:
 receiving location data transmitted from a computing wearable device via the one or more sensors housed in the audio device, wherein determining the category of the ambient sound signals is based at least in part on the location data.   
     
     
         7 . The method of  claim 1 , wherein increasing the output volume of the audio signals comprises:
 determining an adjustment amount for increasing the output volume of the audio signals.   
     
     
         8 . The method of  claim 1 , further comprising:
 detecting a dissipation of the ambient sound signals; and   canceling adjusting the audio signals the filtering.   
     
     
         9 . The method of  claim 3 , further comprising:
 storing common noise data in an acoustic database; and   identifying the ambient sound signals as common noises based at least in part on the common noise data.   
     
     
         10 . An apparatus, comprising:
 a housing;   an audio source contained in the housing;   one or more audio transducers configured to
 generate audio signals associated with the apparatus and an output volume; and 
 receive ambient sound signals associated with an ambient sound source, the ambient sound signals including one or more acoustic characteristics, 
   an audio control processor configured to
 detect the ambient sound signals reaching a threshold intensity; 
 analyze digital data representing the ambient sound signals, wherein the audio control processor is further configured to
 select sample digital data representing at least one of the one or more acoustic characteristics; 
 compare the sample digital data representing the at least one of the one or more acoustic characteristics with data stored in a plurality of acoustic files; and 
 determine a category of the ambient sound signals based at least in part on the comparison, and 
 
 filter out the ambient sound signals from the audio signals when the category is determined to be a category associated with a non-response-solicitation sound. 
   
     
     
         11 . The apparatus of  claim 10 , wherein the one or more acoustic characteristics are selected from the group consisting of intensity, frequency, timbre, and spatial direction. 
     
     
         12 . The apparatus of  claim 10 , wherein the audio control processor is configured to filter out the ambient sound signals from the audio signals when the category is determined to be a category associated with a non-response-solicitation sound and the ambient sound signals are identified as common noises. 
     
     
         13 . The apparatus of  claim 10 , wherein the audio control processor is further configured to:
 increase the output volume of the audio signals when the category is determined to be a category associated with a non-response-solicitation sound that is deemed to interfere with a listener's hearing of the audio signals.   
     
     
         14 . The apparatus of  claim 10 , further comprising:
 one or more sensors contained in the housing configured to receive proximity digital data representing a spatial direction of the ambient sound source, wherein the audio control processor is configured to determine the category of the ambient sound signals based at least in part on the spatial direction.   
     
     
         15 . The apparatus of  claim 14 , wherein the one or more sensors contained in the housing are further configured to receive location data transmitted from a computing wearable device, and wherein the audio control processor is configured to determine the category of the ambient sound signals based at least in part on the location data. 
     
     
         16 . The apparatus of  claim 10 , wherein the audio control processor further comprises:
 an acoustic manager configured to
 select sample digital data representing at least one of the one or more acoustic characteristics, and 
   a pattern matcher configured to
 compare the sample digital data representing the at least one of the one or more acoustic characteristics with data stored a plurality of acoustic files; and 
 determine the category of the ambient sound signals based at least in part on the comparison. 
   
     
     
         17 . The apparatus of  claim 10 , further comprising:
 an acoustic database associated with the audio control processor, the acoustic database being configured to store the data in the plurality of acoustic files.   
     
     
         18 . The apparatus of  claim 13 , wherein the audio control processor is further configured to:
 determine an adjustment amount for increasing the output volume of the audio signals.   
     
     
         19 . The apparatus of  claim 10 , wherein the audio control processor is further configured to:
 detect a dissipation of the ambient sound signals; and   cancel the filtering.   
     
     
         20 . The apparatus of  claim 12 , further comprising:
 an acoustic database storing common noise data, wherein the audio control processor is further configured to identify the ambient sound signals as common noises based at least in part on the common noise data.

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